| A multi-horizon quantile recurrent forecaster R Wen, K Torkkola, B Narayanaswamy, D Madeka arXiv preprint arXiv:1711.11053, 2017 | 518 | 2017 |
| Scatteract: Automated extraction of data from scatter plots M Cliche, D Rosenberg, D Madeka, C Yee Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 81 | 2017 |
| Mqtransformer: Multi-horizon forecasts with context dependent and feedback-aware attention C Eisenach, Y Patel, D Madeka arXiv preprint arXiv:2009.14799, 2020 | 36 | 2020 |
| Deep Inventory Management D Madeka, K Torkkola, C Eisenach, D Foster, A Luo, SM Kakade arXiv preprint arXiv:2210.03137, 2022 | 30 | 2022 |
| Sample path generation for probabilistic demand forecasting D Madeka, L Swiniarski, D Foster, L Razoumov, K Torkkola, R Wen | 10 | 2018 |
| A Study on the Calibration of In-context Learning H Zhang, YF Zhang, Y Yu, D Madeka, D Foster, E Xing, H Lakkaraju, ... arXiv preprint arXiv:2312.04021, 2023 | 6 | 2023 |
| All roads lead to quantitative finance NN Taleb, D Madeka Quantitative Finance 19 (11), 1775-1776, 2019 | 6 | 2019 |
| Scaling laws for imitation learning in nethack J Tuyls, D Madeka, K Torkkola, D Foster, K Narasimhan, S Kakade arXiv preprint arXiv:2307.09423, 2023 | 5 | 2023 |
| A few expert queries suffices for sample-efficient rl with resets and linear value approximation P Amortila, N Jiang, D Madeka, DP Foster Advances in Neural Information Processing Systems 35, 29637-29648, 2022 | 5 | 2022 |
| A Framework for the Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data N Tripuraneni, D Madeka, D Foster, D Perrault-Joncas, MI Jordan arXiv preprint arXiv:2112.07602, 2021 | 5* | 2021 |
| Accurate prediction of electoral outcomes D Madeka arXiv preprint arXiv:1704.02664, 2017 | 5 | 2017 |
| MQRetNN: Multi-horizon time series forecasting with retrieval augmentation S Yang, C Eisenach, D Madeka arXiv preprint arXiv:2207.10517, 2022 | 4 | 2022 |
| Learning an Inventory Control Policy with General Inventory Arrival Dynamics S Andaz, C Eisenach, D Madeka, K Torkkola, R Jia, D Foster, S Kakade arXiv preprint arXiv:2310.17168, 2023 | 1 | 2023 |
| Linear reinforcement learning with ball structure action space Z Jia, R Jia, D Madeka, DP Foster International Conference on Algorithmic Learning Theory, 755-775, 2023 | 1 | 2023 |
| Contextual Bandits for Evaluating and Improving Inventory Control Policies D Foster, R Jia, D Madeka arXiv preprint arXiv:2310.16096, 2023 | | 2023 |
| Distribution-free multi-horizon forecasting and vending system V Quenneville-Belair, M Wolff, B Willhelme, D Madeka, D Foster | | 2023 |
| Estimating Covariance Matrices for Investments Whose Histories Differ in Length D Madeka, W Nilsen Available at SSRN 2331085, 2013 | | 2013 |
| Scaling Laws for Imitation Learning in Single-Agent Games J Tuyls, D Madeka, K Torkkola, D Foster, KR Narasimhan, SM Kakade | | |
Kari TorkkolaSenior Principal Research Scientist, Amazon.com在 amazon.com 的电子邮件经过验证
